Navigation Engineer - AI

Zurich, Switzerland

ANYbotics

ANYbotics provides autonomous legged robots for industrial applications to provide high availability and reliability in automated routine inspections.

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ANYbotics is a fast-growing tech company dedicated to shaping the future of mobile robotics across multiple industries. Join our highly talented and motivated team of more than 190 people and work on cutting-edge robot technology.
The Opportunity
As a Navigation Engineer - AI you will play a crucial role in making autonomous robots a reality. This is your chance to apply cutting-edge technologies to solve real-world problems in robotics, achieving unprecedented reliability and robustness. You will be directly responsible for designing, implementing, and refining software that enables our robots to navigate complex environments with precision and adaptability. With your expertise in applying reinforcement learning based algorithms to real world robotics problems, you will play a crucial role in advancing the navigation system of ANYmal to the next level. This includes developing advanced path planning, obstacle avoidance, and decision-making algorithms, as well as optimizing the efficiency and reliability of our navigation systems. Join a fast-paced, goal-driven team of world-class experts in navigation and perception. Your work and vision will have a real impact on advancing the state of the art in robotics and industrial inspection.
About Us:ANYbotics is a leading robotics company specializing in advanced autonomous systems. With a successful Series B financing round recently closed, we are poised for rapid growth and international expansion. Our mission is to revolutionize the robotics industry through cutting-edge technology and innovation. As we embark on this exciting journey, we are seeking a dynamic and experienced Navigation Engineer to join our team and help us shape the future of robotics.

Your Contributions

  • Lead the design of novel machine learning algorithms for navigation with reinforcement learning, behavior cloning, and imitation learning
  • Develop reliable and robust navigation policies for complex industrial environments
  • Improve and maintain our navigation software stack, including our reinforcement learning framework and its associated tools
  • Writing high-quality and well documented Python and C++ packages with unit and integration tests
  • Participation in planning, organization and tracking of personal and team objectives and tasks
  • Contribute to shape our long-term development roadmap

Your Profile

  • Engineering or science degree with a strong focus on robotics or machine learning
  • Excellent at designing, implementing and improving reinforcement learning pipelines for robotics
  • Strong at writing C++ & Python for machine learning, using libraries like PyTorch, Tensorflow, torchRL, SBL3
  • Strong vision on how to apply recent research advances into industrial use cases
  • Strong at coordinating yourself and others, working towards a goal and achieving outcomes
  • Capable at training others in the state of the art of machine learning for robotics
  • Capable of formulating clear requirements and explaining complex problems to others
  • Capable of working effectively in a Linux environment

Bonus Points

  • Experience with ROS
  • You have applied reinforcement learning to train and deploy on real robots
  • You have a good understanding of state-of-the-art algorithms for robot navigation
We offer you a very exciting and dynamic work environment, the opportunity to become part of a fast-growing company and an ambitious team that is on a mission to change the industrial inspection market, a chance to leverage your experience and bring in your own ideas, a fair market salary, an attractive employee stock ownership plan, and a job in the city of Zurich.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Engineering Industrial Linux Machine Learning Pipelines Python PyTorch Reinforcement Learning Research Robotics TensorFlow

Perks/benefits: Career development Salary bonus Startup environment

Region: Europe
Country: Switzerland

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